The COPKIT project is organising a series of free webinars for Law Enforcement Agencies and relevant stakeholders, although anyone is welcome to join.

Each webinar is an opportunity to learn about the COPKIT goals, methodologies and tools, and to ask questions to our partners.

If you missed a webinar or would like to watch it again, all recordings will be available here below.

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Upcoming webinar

Webinar #4: Extracting information from dark-net market advertisements

Over the past decade, the darknet has created unprecedented opportunities for trafficking in illicit goods, such as weapons and drugs, and it has provided new ways to offer crime as a service.

In this webinar we present different Natural Language Processing (NLP) techniques to extract structured information, such as named entities, the relations between them, and events, from unstructured dark-net market advertisement texts.

Date: 16 September 2020 | 11:00 am CEST (GMT+2)

Register here to attend.

Watch the previous webinars:

Webinar #1: Introducing the COPKIT project

In this webinar, we introduce the objectives and methodology of the project for a better understanding of COPKIT’s solution.

Watch here:

Webinar #2: A Knowledge Discovery tool to find patterns in darknet advertisements

In this webinar, we will provide an overview of the fundamental aspects of the Knowledge Discovery tool, explaining how it can be employed to discover new knowledge in the form of relationships or patterns emerging from the analysis of darknet advertisements, with a particular focus on firearms trafficking.

Watch here:

Webinar #3: Secure Test Lab: A test platform for research evaluation on security data

In this webinar, we present the secure testing lab developed within the context of the COPKIT project. The platform provides a safe environment for testing and evaluating the COPKIT tools using law enforcement data. It allows researchers to assess the efficiency of their methods and also enables LEAs to evaluate the impact of the proposed techniques.

Watch here:

More information here: